CodiLime
CodiLime
201 – 500 Employees
B2BHardwareTelecommunications
CodiLime is a software and network engineering services company founded in 2011, working with networking hardware vendors, software providers, telecommunications firms, technology startups, and established industry companies. Its teams help clients validate ideas through proofs of concept, build network-focused products, and support systems in production. The company’s expertise includes network automation, low-level systems programming, observability, DevOps, and cybersecurity, with project experience spanning the US, Japan, Israel, and Europe. CodiLime’s hiring context is centered on engineering work for B2B technology and telecommunications projects.

Senior RDMA Performance Engineer Poland Remote

CodiLime is seeking a senior engineer to optimize NVIDIA AI data center networks through RDMA fabric benchmarking, congestion-control tuning, and performance validation. The role focuses on improving throughput, latency, and job completion time for high-performance workloads.

Description

  • Configure, troubleshoot, and maintain NVIDIA/Mellanox Spectrum switches and ConnectX network interface cards.
  • Deploy and tune RoCEv2, Priority-based Flow Control, and Explicit Congestion Notification for AI workloads.
  • Improve network environments to maximize throughput while reducing latency and job completion time.
  • Benchmark and validate AI-ready data center fabrics using RDMA and NVIDIA Collective Communication Library.
  • Apply AI agents and specialized tools to automate network operations, testing, and telemetry analysis.
  • Create and maintain documentation for network architectures, configurations, and benchmark findings.
  • Collaborate with an Agile startup team on a project serving a US client.

Requirements

  • At least seven years of professional network engineering experience.
  • Ideally, at least three years focused on data center network design and architecture.
  • Practical experience configuring and troubleshooting BGP, EVPN/VXLAN, LACP, and ECMP.
  • Strong knowledge of AI-focused data center architectures, including Rail-Optimized Design and Rail-Unified Design topologies, with hands-on deployment experience.
  • Demonstrated ability to configure, operate, and troubleshoot NVIDIA/Mellanox Spectrum switches and ConnectX network interface cards.
  • Advanced knowledge of RoCEv2, Priority-based Flow Control, and Explicit Congestion Notification.
  • Experience tuning switch buffers and applying Quality of Service policies.
  • Experience benchmarking and validating AI-ready data center fabrics with RDMA and NVIDIA Collective Communication Library.
  • Ability to use AI agents and tools for task automation, testing, and analysis.
  • Strong technical writing skills and professional English communication.
  • Professional certifications such as CCNP/CCIE Enterprise or Data Center, JNCIP, or equivalent are desirable.
  • Experience with pyATS, NAPALM, Batfish, Nornir, or NetBox is desirable.
  • Familiarity with GitLab CI, GitHub Actions, Jenkins, and infrastructure-as-code concepts is desirable.

Benefits

  • Flexible working arrangements, with fully remote, office-based, and hybrid options.
  • Professional development through internal training and a dedicated training budget.
  • Structured, hands-on onboarding designed to support a smooth start.
  • A collaborative environment with professionals who are passionate about their work.
  • The opportunity to change projects during your time with the company.

Related Jobs